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Starcraft

Starcraft I is a RTS game; the task is to train an agent to play the game.

( Image credit: Macro Action Selection with Deep Reinforcement Learning in StarCraft )

Papers

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Showing 61–70 of 311 papers

Title	Date	Tasks	Status	Hype	Score
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning	Oct 11, 2024	DiversityMuJoCo	CodeCode Available	1	5
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning	Jun 7, 2021	Multi-agent Reinforcement LearningOffline RL	CodeCode Available	1	5
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning	Apr 14, 2021	counterfactualDeep Reinforcement Learning	CodeCode Available	1	5
Learning to Play No-Press Diplomacy with Best Response Policy Iteration	Jun 8, 2020	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1	5
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets	Mar 4, 2020	Starcraft	CodeCode Available	1	5
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning	Dec 1, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
N-Agent Ad Hoc Teamwork	Apr 16, 2024	Autonomous DrivingMulti-agent Reinforcement Learning	CodeCode Available	1	5
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning	Jun 19, 2020	Graph Neural NetworkMulti-agent Reinforcement Learning	CodeCode Available	1	5
FACMAC: Factored Multi-Agent Centralised Policy Gradients	Mar 14, 2020	MuJoCoMulti-agent Reinforcement Learning	CodeCode Available	1	5
QGNN: Value Function Factorisation with Graph Neural Networks	May 25, 2022	Graph Neural NetworkMulti-agent Reinforcement Learning	CodeCode Available	1	5

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